Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples―not to perform entire analyses.

After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference.

Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data.

� propos de l?auteur:

Michael W. Trosset is Professor of Statistics and Director of the Indiana Statistical Consulting Center at Indiana University.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

Description de la librairie

Textbooks_Source is committed to selling new and used books for less money. We offer fast shipping & handling and dedicated customer service support to ensure that you have a great experience as our customer. Thank you for shopping with us!

Visitez la page d�accueil du vendeur

Informations commerciales relatives au vendeur

TXTB.com, LLC
2711 W. Ash St., Columbia, MO, 65203, U.S.A.

Conditions de vente :

We guarantee the condition of every book as it’s described on the AbeBooks websites. If you are not satisfied with your purchase or if the order has not arrived yet, you are eligible for a refund within 30 days of the estimated delivery date. If you have any questions about an order, please us the “Ask Bookseller a Question” link to contact us and we will respond within 2 business days.

Conditions de livraison :

All orders ship from our warehouse, centrally located in Columbia, Missouri. Orders usually ship on the same or next business day (Monday – Friday).

Informations vendeur d�taill�es

Modes de paiement
accept�s par le vendeur